Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Parameter identification for piecewise deterministic markov processes: a case study on a biochemical network

Author(s):

P. Kouretas, K. Koutroumpas, J. Lygeros
Conference/Journal:

IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), ADHS06 Alghero , Italy
Abstract:

The first part of the paper focuses on the use of Piecewise Deterministic Markov Processes (PDMP) for the modeling of biochemical networks. As a case study, the production of the peptide antibiotic B.Subtilis is considered. The second part of the paper is devoted to the problem of identifying unkown parameters of the model equations, based on experimental data. For the identification task we propose the use of Genetic Algorithms. An example demonstrates the feasibility of our approach.

Year:

2006
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { KouKou:2006:IFA_2630,
    author={P. Kouretas and K. Koutroumpas and J. Lygeros},
    title={{Parameter identification for piecewise deterministic markov
	  processes: a case study on a biochemical network}},
    booktitle={IFAC Conference on Analysis and Design of Hybrid Systems
	  (ADHS)},
    pages={},
    year={2006},
    address={},
    month=jun,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2630}
}
Permanent link